This section compares the self-assessed technical skills of team members with the key competencies demanded in IT job postings, particularly within data and machine learning roles. The goal is to identify knowledge gaps and design personalized learning plans to enhance project readiness and team-wide growth.
From the heatmap comparison between team skills and industry-demanded skills (e.g., Python, SQL, Machine Learning, Cloud Computing, Docker, AWS), the following insights emerge:
All team members lack Docker and AWS skills, which are widely required in modern DevOps and cloud roles.
Jianhao Hong demonstrates strong SQL and Python skills, but could improve Cloud Computing and gain introductory experience in Docker and AWS.
Xinran Li shows good balance, especially in Cloud Computing, but should focus on deeper Machine Learning knowledge and Docker basics.
Chialing Sung has solid Machine Learning capability and moderate Python, but needs exposure to cloud platforms and DevOps tools.
Zimo Zeng excels in Cloud Computing but has a significant gap in Machine Learning and scripting languages like Python.